Amazon Solution Architect Annapurna ML 

United States, California, Cupertino 

248803553

You: In this customer-facing role, you will work closely with our Neuron software development team and strategic customers on cutting edge accelerated Machine Learning solutions. You will bring your hands-on experience developing and deploying Deep Learning models and integrate it with our ML accelerator products, into large-scalable production applications.You will need to be technically capable and credible in your own right, to become a trusted advisor for customers developing, deploying and scaling Deep Learning applications on AWS ML accelerators. You’ll succeed in this position if you enjoy capturing and sharing best practices and insights, and help shape how AWS ML accelerator technology gets used. You will be a hands-on partner to AWS services teams, technical field communities, sales, marketing, business development, and professional services, to drive adoption. You’ll leverage your communications skills, and be very technical when doing so, to help amplify the thought-leadership around AWS Neuron technology stack to the broader AWS field community, as well as our customers.Key job responsibilities- Drive thought leadership by crafting and delivering compelling audience-specific messaging artifacts (product videos, demos, workshops, how to guides etc.) presenting AWS ML accelerator technology through AWS Blogs, reference architectures and solutions, and public-speaking events.

- 2+ years of design, implementation, or consulting in applications and infrastructures experience
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience

- Experience working within software development or Internet-related industries
- Experience working with AWS technologies from a dev/ops perspective
- Knowledge of software development tools and methodologies
- Experience in technology/software sales, pre-sales, or consulting